You will help to build the tools and infrastructure that we use for validating GPU performance at scale and learn how our GPUs work and perform at a foundational level. You will also collaborate closely with architecture hardware design and driver engineers to debug complex issues and drive solutions. Your deep-dive analysis and rigorous testing will identify performance bottlenecks regressions and opportunities for optimization across the software stack as well as help inform our future hardware roadmap.
Bachelors or Masters degree in Computer Science Computer Engineering or a related technical field.
Experience in performance analysis hardware validation or a similar role.
Strong understanding of computer system architecture with an emphasis on GPU architecture.
Proficiency in a scripting language such as Python (preferred) Perl or Bash.
Excellent problem-solving and debugging skills.
A passion for GPU performance graphics technologies and high-performance computing.
Hands-on experience with GPU performance profiling and debugging tools (e.g. Nsight RGP GPA RenderDoc).
Familiarity with modern graphics APIs (e.g. Metal Vulkan DirectX 12).
Experience with containerization and orchestration technologies (e.g. Docker Kubernetes) or other cloud-based solutions for test infrastructure.
Knowledge of system-level power and thermal management and its impact on performance
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